
Predicting Sentiment Based on Drug Product User Reviews (Using Real World Evidence) for Informed Decision Making – Part 2
Sentiment Analysis Using a Supervised Binary Text Classifier (Utilizing Large Language Models – BERT and XLNet)

Sentiment Analysis Using a Supervised Binary Text Classifier (Utilizing Large Language Models – BERT and XLNet)

Utilising Predictive Maintenance on a Peristaltic Pump during the ‘Fill Finish’ Stage of the Biopharma Workflow

Sentiment Analysis Using a Supervised Binary Text Classifier (Utilizing Machine Learning)

Utilising Binary, Supervised Machine Learning (Distance Based Algorithm i.e. KNN) and Using 5 Fold Nested Cross Validation for Robust Model Evaluation and Hyper-parameter Tuning